Speaker
Masahito Hosaka
(University of Science and Technology of China)
Description
Beam based alignment (BBA) plays an important role in the commissioning of the fourth generation light source but it takes a lot of time with several hundreds of BPMs. To speed up BBA, a method using AC excitation, called fast BBA, has been proposed and is tested in several 3rd generation light sources. We have recently also proposed and tested a new BBA based on the neural network machine learning. In this paper, we will compare these new BBAs with conventional BBA in term of error, speed and some other aspects such as the betatron coupling.
| Region represented | Asia |
|---|---|
| Paper preparation format | Word |
Primary author
Masahito Hosaka
(University of Science and Technology of China)
Co-authors
Kemin Chen
(University of Science and Technology of China)
Tao He
(University of Science and Technology of China)
Wei Xu
(University of Science and Technology of China)
